Influencing factors and prediction of arsenic concentration in Pteris vittata: A combination of geodetector and empirical models.

Zeng, Weibin; Wan, Xiaoming; Lei, Mei; Gu, Gaoquan; Chen, Tongbin

Zeng, Weibin; Wan, Xiaoming; Lei, Mei; Gu, Gaoquan; Chen, Tongbin.

Afiliação

Zeng W; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100089, China.
Wan X; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100089, China. Electronic address: wanxm.06s@igsnrr.ac.cn.
Lei M; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100089, China.
Gu G; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100089, China.
Chen T; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100089, China.

Environ Pollut ; 292(Pt A): 118240, 2022 Jan 01.

Article em En | MEDLINE | ID: mdl-34619180

Assuntos

Arsênio; Pteris; Poluentes do Solo; Arsênio/análise; Biodegradação Ambiental; Solo; Poluentes do Solo/análise

Palavras-chave

Field trials; Heavy metal; Hyperaccumulator; Multivariate linear stepwise regression; Phytoextraction

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes do Solo / Pteris Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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